001482282 000__ 06021cam\\22006377i\4500 001482282 001__ 1482282 001482282 003__ OCoLC 001482282 005__ 20231128003329.0 001482282 006__ m\\\\\o\\d\\\\\\\\ 001482282 007__ cr\cn\nnnunnun 001482282 008__ 231007s2023\\\\sz\a\\\\o\\\\\000\0\eng\d 001482282 019__ $$a1402020131 001482282 020__ $$a9783031379932$$qelectronic book 001482282 020__ $$a3031379934$$qelectronic book 001482282 020__ $$z3031379926 001482282 020__ $$z9783031379925 001482282 0247_ $$a10.1007/978-3-031-37993-2$$2doi 001482282 035__ $$aSP(OCoLC)1402030815 001482282 040__ $$aEBLCP$$beng$$cEBLCP$$dYDX$$dGW5XE$$dEBLCP$$dYDX$$dOCLCO$$dOCLCF 001482282 049__ $$aISEA 001482282 050_4 $$aRC71.3$$b.D78 2023 001482282 08204 $$a616.07/5$$223/eng/20231010 001482282 1001_ $$aDjulbegović, Benjamin,$$eauthor. 001482282 24510 $$aThreshold decision-making in clinical medicine :$$bwith practical application to hematology and oncology /$$cBenjamin Djulbegovic, Iztok Hozo ; with assistance from David Lizárraga. 001482282 264_1 $$aCham :$$bSpringer International Publishing AG,$$c2023. 001482282 300__ $$a1 online resource (xxiii, 138 pages) :$$billustrations (some color). 001482282 336__ $$atext$$btxt$$2rdacontent 001482282 337__ $$acomputer$$bc$$2rdamedia 001482282 338__ $$aonline resource$$bcr$$2rdacarrier 001482282 4901_ $$aCancer Treatment and Research Series ;$$vv.189 001482282 5050_ $$aIntro -- Preface -- Contents -- List of Figures -- 1 Evidence and Decision-Making -- 1.1 Introduction -- 1.2 Evidence-Based Medicine (EBM) -- 1.3 Theories of Decision-Making -- 1.4 Rational Decision-Making -- 1.5 Threshold Model of Decision-Making: The Linchpin Between EBM and Decision-Making -- References -- 2 Making Decisions When No Further Diagnostic Testing is Available -- 2.1 Introduction -- 2.2 Expected Utility Theory Threshold Model -- 2.3 Threshold Model When the Diagnosis Is Not Certain, and Outcomes Are Not Certain 001482282 5058_ $$a2.4 Threshold Models When the Diagnosis Is Certain, but Health Outcomes (Utilities) Are Uncertain -- References -- 3 Making Decisions When no Further Diagnostic Testing is Available (Expected Regret Theory Threshold Model) -- 3.1 Introduction -- 3.2 Acceptable Regret -- References -- 4 Decision-Making When Diagnostic Testing is Available -- 4.1 Introduction -- 4.2 Threshold Modeling When Diagnostic Testing is Available -- References 001482282 5058_ $$a5 Formulating Management Strategies Using Fast-and-Frugal Trees (A Decision Tool to Transform Clinical Practice Guidelines and Clinical Pathways into Decision Support at the Point of Care) -- 5.1 Introduction -- 5.2 Fast-and-Frugal Trees -- References -- 6 Using Decision Curve Analysis to Evaluate Testing and/or Predictive Modeling -- 6.1 Introduction -- 6.2 Illustrative Examples -- References -- 7 Hybrid and Dual-Processing Threshold Decision Models -- 7.1 Hybrid Threshold Model -- 7.2 The Dual-Processing Threshold Model -- References -- 8 Which Threshold Model? -- 8.1 Introduction 001482282 5058_ $$a8.1.1 A Brief Review of the Principles of Medical Decision-Making -- 8.1.2 Different Theoretical Models Generate Different Recommendations -- 8.1.3 Contemporary Clinical Practice Represents an Environment Favoring the Overuse of Diagnostic and Treatment Interventions -- 8.1.4 Simple Versus Complex Models -- 8.1.5 Adhering to Practical Wisdom -- References -- 9 Medical Decision-Making and Artificial Intelligence -- 9.1 Introduction -- 9.2 Machine Learning -- 9.3 Machine Learning and Clinical Care -- 9.4 AI Challenges and Limitations 001482282 5058_ $$a9.5 Statistical and Decision-Theoretical View of Artificial Intelligence Modeling -- 9.6 Conclusions -- References -- Appendix -- A.1 Expected Utility Theory -- A.1.1 A Decision About Treatment (Rx) Versus No Treatment (NoRx): When the Diagnosis (Clinical Event) Is Not Certain and No Further Diagnostic (dx) Test Is Available -- A.1.2 Rx Versus NoRx -- A.1.3 Rx1 Versus Rx2: When Diagnosis Is Not Certain and No Further dx Test Is Available -- A.1.4 Rx1 Versus Rx2: When Diagnosis Is Certain and No Further dx Test Is Available 001482282 506__ $$aAccess limited to authorized users. 001482282 520__ $$aThis book aims to provide threshold models to help physicians to make optimal diagnostic, therapeutic and predictive decisions. Readers will not only find theoretical information but also practical examples illustrating how these decisions should be made. Poor decision-making is considered a leading cause of death in contemporary medicine. Decisions, however, have to be made - at a given threshold of risk and unfortunately physicians are not trained on how to make decisions. This book provides help to all those who want to improve their decision-making for a better patient outcome. With its examples from hematology and oncology the book will not only benefit haematologists and oncologists but physicians from all disciplines, hence the threshold model is applicable to all fields in medicine. This book will be useful to experienced physicians as well as trainees alike. 001482282 588__ $$aDescription based on online resource; title from digital title page (viewed on November 06, 2023). 001482282 650_6 $$aMédecine clinique$$xPrise de décision. 001482282 650_6 $$aHématologie$$xPrise de décision. 001482282 650_6 $$aCancérologie$$xPrise de décision. 001482282 650_0 $$aClinical medicine$$xDecision making. 001482282 650_0 $$aHematology$$xDecision making.$$0(DLC)sh 85005466 001482282 650_0 $$aOncology$$xDecision making. 001482282 655_0 $$aElectronic books. 001482282 7001_ $$aHozo, Iztok,$$eauthor. 001482282 77608 $$iPrint version:$$aDjulbegovic, Benjamin$$tThreshold Decision-Making in Clinical Medicine$$dCham : Springer International Publishing AG,c2023$$z9783031379925 001482282 830_0 $$aCancer treatment and research ;$$vv. 189. 001482282 852__ $$bebk 001482282 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-37993-2$$zOnline Access$$91397441.1 001482282 909CO $$ooai:library.usi.edu:1482282$$pGLOBAL_SET 001482282 980__ $$aBIB 001482282 980__ $$aEBOOK 001482282 982__ $$aEbook 001482282 983__ $$aOnline 001482282 994__ $$a92$$bISE